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Google's plans in Asia
Over the last three months the number of Internet users in Asia grew equivalent whole population of Canada. According to the vice-president of data centers Google Joe Kava, this impressive growth is the main reason why the company is interested in the physical presence in the region.
More than half the world's population and nearly half of all Internet-using lives in Asia. Every day in the Asia-Pacific region is connected to the Internet more and more new users than any other country in the world. To be closer to Google makes sense to locate here their data centers, especially considering that most people are not yet using the Internet, just live here. Besides the development of cloud technology increases the importance of proximity to potential customers. No delay when accessing the cloud data and good throughput can be achieved only through a local presence.
During his speech at the conference Datacenter Dynamics Converged 2014 Singapore Joe Kavanagh same shared information about the use of a machine learning system to further improve the impressive values of energy efficiency in data centers Google. Machine learning system handles large volumes of information and apply pattern recognition to improve the efficiency of energy use in real time with high accuracy. The algorithm monitors total IT-load, air temperature, and the utilization of mechanical and cooling equipment. Within a few months, such a system will be launched in a data center in Singapore.
Multi-storey data center in Singapore h4>
Environmental data center in Taiwan h4>
Exit from Hong Kong h4>
More than half the world's population and nearly half of all Internet-using lives in Asia. Every day in the Asia-Pacific region is connected to the Internet more and more new users than any other country in the world. To be closer to Google makes sense to locate here their data centers, especially considering that most people are not yet using the Internet, just live here. Besides the development of cloud technology increases the importance of proximity to potential customers. No delay when accessing the cloud data and good throughput can be achieved only through a local presence.
During his speech at the conference Datacenter Dynamics Converged 2014 Singapore Joe Kavanagh same shared information about the use of a machine learning system to further improve the impressive values of energy efficiency in data centers Google. Machine learning system handles large volumes of information and apply pattern recognition to improve the efficiency of energy use in real time with high accuracy. The algorithm monitors total IT-load, air temperature, and the utilization of mechanical and cooling equipment. Within a few months, such a system will be launched in a data center in Singapore.